AI Automation Engineer
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Job Description
AI Automation Engineer designing AI-driven workflows for a tech startup Cosuno. Collaborating with cross-functional teams to enhance modular automation and build efficiency in construction processes.
Responsibilities:
- Discovery & Prioritization: Partner with Finance, Sales, Ops & Product to identify high-ROI automation opportunities & evaluate them based on business impact versus technical effort.
- Workflow Engineering: Design, prototype, and deploy end-to-end AI workflows by building our orchestration stack (e.g., n8n, Vector Databases) and connecting various endpoints via APIs to build a universal memory for Cosuno.
- Scaling & Modularity: Build solutions that are modular and reusable across different departments to avoid "reinventing the wheel" for every new request.
- Enablement & Governance: Establish AI guardrails, while enabling AI champions in other departments to work with the automations themselves.
- Monitoring & Optimization: Define and track success metrics (ROI, time saved, reliability) to ensure automations deliver continuous value.
Requirements:
- The "Product" Mindset: You treat internal tools like products. You prioritize ruthlessly and focus on business value over "perfect code” or "beautiful UI”.
- Technical Fluency: You are proficient in Python, n8n, and API architecture. You have hands-on experience with RAG and connecting LLMs to proprietary data sources.
- Applied AI Focus: You prefer building “Reasoning Chains” and integrating existing tools over training custom models.
- Systems Thinker: You see the company as a series of interconnected data flows. You naturally see patterns and build modular solutions that scale across teams.
- Change Agent: You have experience driving organizational change and can explain complex technical concepts to non-technical stakeholders with ease.
- Pragmatic Innovator: You would rather ship a working automation in two weeks than a perfect one in six months, and you have the commercial sense to block non-feasible requests.
Benefits:
- Applied AI, Not R&D: You won’t spend months training models that never go live. You’ll leverage the modern stack (LLMs, Vector DBs, n8n) to ship high-impact automations that solve real business problems immediately.
- Uncapped Leverage: Construction is one of the last undigitized global industries. We aren't optimizing ad-clicks; we are building the digital nervous system for the physical world. Your efficiency gains here have a massive multiplier effect.
- Strategic Ownership: You aren’t hidden in a silo. Collaborating directly with the CEO & CTO, you have the autonomy to identify bottlenecks and build the infrastructure that allows Cosuno to scale.
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